Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Saad Mohd Sazli"'
Publikováno v:
MATEC Web of Conferences, Vol 78, p 01118 (2016)
In this study, the parameter identification of the damped compound pendulum system is proposed using one of the most promising nature inspired algorithms which is Bat Algorithm (BA). The procedure used to achieve the parameter identification of the e
Externí odkaz:
https://doaj.org/article/0c28ffbf1ebe4dd0a97d808ec967d345
Publikováno v:
MATEC Web of Conferences, Vol 78, p 01085 (2016)
This study focuses on the optimisation of the injection moulding parameters to maximise the strength ofmoulded parts using a simulation software. The moulded parts were injected with Acrylonitrile- Butadiene-Styrene (ABS) whereas mould temperature, m
Externí odkaz:
https://doaj.org/article/c8ace8942e0e49dabfb25978d74c89c9
Publikováno v:
MATEC Web of Conferences, Vol 78, p 01117 (2016)
This paper present the parameter identification of damped compound pendulum using differential evolution algorithm. The procedure used to achieve the parameter identification of the experimental system consisted of input output data collection, ARX m
Externí odkaz:
https://doaj.org/article/048fe50b20fe43daa4fbedc959e70d3e
Publikováno v:
MATEC Web of Conferences, Vol 78, p 01119 (2016)
This paper presents an investigation into the parameter estimation of the damped compound pendulum using Firefly algorithm method. In estimating the damped compound pendulum, the system necessarily needs a good model. Therefore, the aim of the work d
Externí odkaz:
https://doaj.org/article/11dd05d9a92841eca6d66044c0f5a07f
Autor:
Najihah S.N., Shayfull Z., Nasir S.M., Saad Mohd Sazli, Rashidi M.M., Fathullah M., Noriman N.Z.
Publikováno v:
MATEC Web of Conferences, Vol 78, p 01083 (2016)
Injection moulding is the most widely used processes in manufacturing plastic products. Since the quality of injection improves plastic parts are mostly influenced by process conditions, the method to determine the optimum process conditions becomes
Externí odkaz:
https://doaj.org/article/57c816e120cd4a8db22d7c2e8c93e0b8
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Ma Haohao, As'arry, Azizan, Wu Xuping, Shah Ismail, Mohd Idris, Ramli, Hafiz Rashidi, Saad, Mohd Sazli, Delgoshaei, Aidin
Publikováno v:
Indonesian Journal of Electrical Engineering & Computer Science; Oct2024, Vol. 36 Issue 1, p559-569, 11p
Autor:
Nasuha, Hani, Saad, Mohd Sazli, Baharudin, Mohamad Ezral, Nor, Azuwir Mohd, Zakaria, Mohd Zakimi
Publikováno v:
AIP Conference Proceedings; 2024, Vol. 3114 Issue 1, p1-7, 7p
Autor:
Saad, Mohd Sazli1 (AUTHOR) sazlisaad@unimap.edu.my, Mohd Nor, Azuwir1 (AUTHOR), Abd Rahim, Irfan1 (AUTHOR), Syahruddin, Muhammad Ariffin1 (AUTHOR), Mat Darus, Intan Zaurah2 (AUTHOR)
Publikováno v:
Neural Computing & Applications. Oct2022, Vol. 34 Issue 20, p17423-17439. 17p.
Autor:
Abdul Rahim, Mohamad Shukor1 mshukorrahim@unimap.edu.my, Naim Bin Tajuddin, Mohammad Faridun1, Saad, Mohd Sazli2, Hasanuzzaman, Md.3, Azmi, Azralmukmin1, Bin Mohammed, Mohd Fayzul1
Publikováno v:
Energy Sources Part A: Recovery, Utilization & Environmental Effects. 2024, Vol. 46 Issue 1, p3979-3995. 17p.